---
license: mit
base_model: facebook/mbart-large-50
tags:
- generated_from_trainer
model-index:
- name: pattern_model
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# pattern_model

This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.9395

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1.5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 7.5011        | 0.1613 | 5    | 7.5987          |
| 6.3012        | 0.3226 | 10   | 5.8828          |
| 5.6098        | 0.4839 | 15   | 5.5494          |
| 5.3656        | 0.6452 | 20   | 5.3440          |
| 5.0999        | 0.8065 | 25   | 5.2776          |
| 4.9572        | 0.9677 | 30   | 5.1436          |
| 4.7974        | 1.1290 | 35   | 5.0645          |
| 4.9493        | 1.2903 | 40   | 4.9931          |
| 4.903         | 1.4516 | 45   | 4.9546          |
| 4.6146        | 1.6129 | 50   | 4.9395          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1